Radiology Reporter
Scanned 5/29/2026
Install via CLI
openskills install FridrichMethod/awesome-skills---
name: radgpt-radiology-reporter
description: Radiology Reporter
keywords:
- radiology
- report-generation
- patient-friendly
- summarization
- explanation
measurable_outcome: Generate a patient-friendly explanation of a radiology report with <1% hallucination rate within 30 seconds.
license: MIT
metadata:
author: Stanford Medicine
version: "1.0.0"
compatibility:
- system: Python 3.9+
allowed-tools:
- run_shell_command
- read_file
---
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# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
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# RadGPT (Radiology Report Assistant)
An LLM-based agent designed to summarize and explain complex radiology reports for patients and clinicians.
## When to Use
* **Patient Communication**: Converting technical findings into plain language.
* **Clinician Review**: Highlighting critical findings (e.g., "Pneumothorax detected").
* **Follow-up**: Suggesting appropriate next steps based on findings.
## Core Capabilities
1. **Simplification**: Translates "bilateral opacity" to "cloudiness in both lungs".
2. **Entity Extraction**: Identifies key anatomical structures and pathologies.
3. **Q&A**: Answers follow-up questions about the report.
## Workflow
1. **Input**: Raw text of the radiology report.
2. **Process**: LLM summarizes and identifies key findings.
3. **Output**: Structured summary or conversational explanation.
## Example Usage
**User**: "Explain this chest X-ray report to the patient."
**Agent Action**:
```bash
python -m radgpt.explain --report ./report.txt --target_audience patient
```
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.